I started coding at 9 on a 4GB RAM laptop. We failed 8 times before this—coupon sites, freelancing platforms, consulting. Nityasha is different: it uses Thesys generative UI for visual charts, includes Study Mode with Socratic teaching, and integrates everything so you don't need 10 tabs open.
500+ active users now. We just launched Nityasha Connect where businesses can integrate services directly into the AI.
Would love your feedback!
tomhow•1d ago
mdrzn•2d ago
Also the fake comments (or friends comments?) are not really liked on Show HNs.
Congrats on building it.
nityasha•1d ago
Yes, we use OpenAI/Anthropic APIs - we're not training models from scratch (like you said, neither does Perplexity, Jasper, or most AI tools).
What we add (technical details):
1. Persistent Memory Architecture - Vector embeddings of user context stored in Pinecone - Semantic search across past conversations (not just in-session) - Retrieval pipeline: query → embed → cosine similarity → top-k memories → inject in prompt - Challenge: Managing token costs while maintaining context
2. Socratic Teaching System (Study Mode) - Question analysis: detect knowledge gaps - Progressive hint generation (not just Q&A) - Tracks learning progression - Example: Instead of "here's binary search code", asks "what property of sorted arrays makes this possible?"
3. Unified Workflow Integration - Email parsing + calendar sync + task extraction - Single interface reduces context switching - Memory persists across all tools
Architecture overhead: - User sends query - Retrieve relevant memories (vector search) - Build augmented context window - Send to LLM with enriched prompt - Generate + store new embeddings - ~200ms additional latency for memory operations
You're right that the base intelligence is GPT-4/Claude. But saying "wrapper" feels like saying Notion is "just a wrapper around PostgreSQL" or Stripe is "just a wrapper around payment processors."
The value is in the layer we built, not the underlying model.
That said - we should've been clearer about this upfront. Our first comment didn't explain the technical depth. That's on us.
Re: the fake comments - you're absolutely right to call that out. Those were friends/early users we asked to support the launch. That was a mistake and goes against HN's culture of authentic discussion.
I'm 13 and this is our first HN launch. We didn't understand how much the community values genuine engagement over orchestrated support. Won't happen again.
Apologies to the HN community for trying to game the system. Should've let the product speak for itself.
Appreciate you taking time to give honest feedback instead of just downvoting. This is exactly why we launched here - to learn from people who know better.
What would make this feel genuinely useful vs "just another wrapper" to you?
tomhow•1d ago